干旱指数对历史土地利用和土地覆盖变化的发散响应

IF 9.6 1区地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES npj Climate and Atmospheric Science Pub Date : 2025-03-05 DOI:10.1038/s41612-025-00978-1

Tao Tang, Jun Ge, Haiyun Shi, Junji Cao

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引用次数: 0

摘要

通过模型模拟，我们发现自1850年以来，土地利用和土地覆盖的历史变化对全球干旱指数（AI）产生了影响，但不同地区的响应存在差异。从局部来看，人工智能在重新造林地区和最潮湿的地区往往会增加（变得潮湿）。由于这些变化，湿润地带的面积以牺牲旱地面积为代价，只增加了全球陆地面积的0.22%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Divergent response of aridity index to historical land use and land cover change

By using model simulations, we show that historical land use and land cover change since 1850 has impacted aridity index (AI) worldwide, causing divergent responses in different regions. Locally, AI tends to increase (getting humid) in reforestation regions and most humid regions. Owing to these changes, the area of the humid zone expanded insignificantly by 0.22% of the global land area at the expense of drylands.

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来源期刊

npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science

CiteScore

8.80

自引率

3.30%

发文量

审稿时长

21 weeks

期刊介绍： npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.